Guofei Shang

1.9k total citations · 3 hit papers
65 papers, 1.2k citations indexed

About

Guofei Shang is a scholar working on Environmental Engineering, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Guofei Shang has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Environmental Engineering, 36 papers in Global and Planetary Change and 32 papers in Atmospheric Science. Recurrent topics in Guofei Shang's work include Urban Heat Island Mitigation (26 papers), Climate change and permafrost (16 papers) and Land Use and Ecosystem Services (14 papers). Guofei Shang is often cited by papers focused on Urban Heat Island Mitigation (26 papers), Climate change and permafrost (16 papers) and Land Use and Ecosystem Services (14 papers). Guofei Shang collaborates with scholars based in China, France and United States. Guofei Shang's co-authors include Pei Leng, Zhao-Liang Li, Chenghu Zhou, Xia Zhang, Hua Wu, Si‐Bo Duan, Xiangyang Liu, Kun‐Shan Chen, Bo‐Hui Tang and Menglin Si and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Guofei Shang

60 papers receiving 1.2k citations

Hit Papers

Satellite Remote Sensing of Global Land Surface Temperatu... 2021 2026 2022 2024 2022 2021 2023 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guofei Shang China 14 867 610 478 180 152 65 1.2k
Darren Ghent United Kingdom 21 866 1.0× 769 1.3× 732 1.5× 193 1.1× 148 1.0× 53 1.4k
Frank Göttsche Germany 13 885 1.0× 596 1.0× 562 1.2× 217 1.2× 183 1.2× 17 1.3k
Dražen Skoković Spain 12 851 1.0× 471 0.8× 626 1.3× 174 1.0× 277 1.8× 28 1.2k
Zhao-Liang Li China 12 689 0.8× 423 0.7× 853 1.8× 195 1.1× 41 0.3× 41 1.2k
Joan M. Galve Spain 17 983 1.1× 700 1.1× 471 1.0× 177 1.0× 91 0.6× 29 1.3k
Raquel Niclòs Spain 23 1.0k 1.2× 748 1.2× 586 1.2× 220 1.2× 72 0.5× 77 1.5k
Sofia L. Ermida Portugal 17 885 1.0× 630 1.0× 636 1.3× 211 1.2× 181 1.2× 34 1.3k
Christian Feigenwinter Switzerland 25 734 0.8× 679 1.1× 1.4k 3.0× 137 0.8× 212 1.4× 63 1.8k
M. Romaguera Spain 11 889 1.0× 471 0.8× 555 1.2× 166 0.9× 236 1.6× 18 1.2k
Zigeng Niu China 19 890 1.0× 489 0.8× 986 2.1× 173 1.0× 458 3.0× 38 1.7k

Countries citing papers authored by Guofei Shang

Since Specialization
Citations

This map shows the geographic impact of Guofei Shang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guofei Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guofei Shang more than expected).

Fields of papers citing papers by Guofei Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guofei Shang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guofei Shang. The network helps show where Guofei Shang may publish in the future.

Co-authorship network of co-authors of Guofei Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Guofei Shang. A scholar is included among the top collaborators of Guofei Shang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guofei Shang. Guofei Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Yonghui, Zhijie Bai, Yanmin Yang, et al.. (2025). Decoupling Driving Factors and High‐Precision Prediction of Food Security in Central Asia Based on a Coupled PLS‐SEM and PSO‐LSSVM Model. Food and Energy Security. 14(3). 1 indexed citations
3.
Gao, M., et al.. (2025). Research on the impact of spatial and temporal changes in ecological product value in Hebei Province based on land use changes. Scientific Reports. 15(1). 9571–9571. 1 indexed citations
4.
Zhang, Xia, Na Li, Ruohan Chen, et al.. (2025). The Spatiotemporal Evolution and Driving Forces of the Urban Heat Island in Shijiazhuang. Remote Sensing. 17(5). 781–781. 2 indexed citations
5.
Gao, Yuxin, Pei Leng, Jing Li, et al.. (2024). Identification of irrigation events using Bayesian statistics-based change detection and soil moisture measurements. Agricultural Water Management. 302. 108999–108999. 1 indexed citations
6.
Duan, Si‐Bo, Zhao-Liang Li, Xiangyang Liu, et al.. (2024). Improving monthly mean land surface temperature estimation by merging four products using the generalized three-cornered hat method and maximum likelihood estimation. Remote Sensing of Environment. 302. 113989–113989. 11 indexed citations
7.
Wang, Yanyan, Pei Leng, Salvatore Manfreda, et al.. (2024). Generation of root zone soil moisture from the integration of an all-weather satellite surface soil moisture estimates and an analytical model: A preliminary result in China. Journal of Hydrology. 644. 132098–132098. 3 indexed citations
8.
Xiao, Jingfeng, Tianshan Zha, Guofei Shang, et al.. (2023). Dynamics and biophysical controls of nocturnal water loss in a winter wheat-summer maize rotation cropland: a multi-temporal scale analysis. Agricultural and Forest Meteorology. 342. 109701–109701. 4 indexed citations
9.
Liu, Xiangyang, Zhao-Liang Li, Yitao Li, et al.. (2023). Local temperature responses to actual land cover changes present significant latitudinal variability and asymmetry. Science Bulletin. 68(22). 2849–2861. 40 indexed citations
11.
Liu, Han, et al.. (2023). Effects of Production–Living–Ecological Space Patterns Changes on Land Surface Temperature. Remote Sensing. 15(14). 3683–3683. 4 indexed citations
12.
Li, Chenggang, et al.. (2023). The energy conservation and emission reduction co-benefits of China’s emission trading system. Scientific Reports. 13(1). 13758–13758. 5 indexed citations
13.
Li, Yitao, Zhao-Liang Li, Hua Wu, et al.. (2023). Biophysical impacts of earth greening can substantially mitigate regional land surface temperature warming. Nature Communications. 14(1). 121–121. 118 indexed citations breakdown →
14.
Li, Zhao-Liang, Xiangyang Liu, Si‐Bo Duan, et al.. (2023). A generalized method for retrieving global daily mean land surface temperature from polar-orbiting thermal infrared sensor instantaneous observations. International Journal of Remote Sensing. 45(19-20). 7556–7577. 2 indexed citations
15.
Qin, Ling, Han Liu, Guofei Shang, Huicai Yang, & Haiming Yan. (2022). Thermal Environment Effects of Built-Up Land Expansion in Shijiazhuang. Land. 11(7). 968–968. 2 indexed citations
16.
Li, Zhao‐Liang, Hua Wu, Si‐Bo Duan, et al.. (2022). Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications. Reviews of Geophysics. 61(1). 327 indexed citations breakdown →
17.
Li, Chenggang, et al.. (2022). Spatial spillover effect of green finance on economic development, environmental pollution, and clean energy production across China. Environmental Science and Pollution Research. 29(58). 87858–87873. 13 indexed citations
18.
Duan, Si‐Bo, Ru Chen, Mengmeng Wang, et al.. (2021). Reviews of methods for land surface temperature retrieval from Landsat thermal infrared data. National Remote Sensing Bulletin. 25(8). 1591–1617. 39 indexed citations
19.
Leng, Pei, Xia Zhang, Guofei Shang, et al.. (2021). Prediction of vegetation phenology with atmospheric reanalysis over semiarid grasslands in Inner Mongolia. The Science of The Total Environment. 812. 152462–152462. 18 indexed citations
20.
Zhang, Qingjun, et al.. (2013). Intensive land-use evaluation of Lincheng economic development zone in Hebei Province. Nanfang nongye xuebao. 44(1). 171–175.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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